Workshop on Machine Learning for cryoEM

(16 Sep 2022–23 Sep 2022)

Organizing Committee

Co-chairs

Hui Ji (National University of Singapore)

Duane Loh (National University of Singapore)

Steven J Ludtke (Baylor College of Medicine)

Paul Matsudaira (National University of Singapore)

Ardan Patwardhan (European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI))

Yong Zi Tan (National University of Singapore)

Contact Information

General Enquiries: ims-enquiry(AT)nus.edu.sg
Scientific Aspects Enquiries: duaneloh(AT)nus.edu.sg

Overview

Cryo-electron microscopy (cryo-EM) has become a major imaging modality for atomic resolution structural biology. Using cryo-EM we can resolve the atomic structures of nanometer macromolecular machines that are not amenable to imaging techniques such as macromolecular crystallography. The related technique of cryo-electron tomography (cryo-ET) is also indispensable for examining the organization and macromolecular structure of cells at nanometer resolution.

Currently the cryo-EM community faces unprecedented data loads where the only practical way to analyze them requires a heavy reliance on specialized processing algorithms. Recent breakthroughs in machine learning have created opportunities to augment these algorithms with human intuition, complex prior knowledge, and robust validation schemes.

This unique IMS-sponsored workshop gathers international specialists in cryo-EM, machine learning, and mathematical sciences to share and inspire future applications of machine learning in cryo-EM.

Activities

Click here for the Workshop Schedule

Some speakers are giving virtual talks.

Title	Date	Abstract
Tutorial on Single particle imaging by Dari Kimanius (MRC, UK)	16 September 2022	N/A
Tutorial on RELION by Dari Kimanius (MRC, UK)	16 September 2022	N/A
Workshop	19–22 September 2022	View
Tutorial on SmartScope by Jonathan Bouvette (National Institutes of Health, USA)	23 September 2022	N/A
Tutorial on Smart Leginon by Anchi Cheng (New York Structural Biology Center, USA)	23 September 2022	N/A

Venue

IMS Auditorium

Speakers

Virtual speakers annotated with *

Tristan Bepler (Simons Machine Learning Center, USA)
Jonathan Bouvette (National Institutes of Health, USA)
Muyuan Chen (Stanford University)
Anchi Cheng (New York Structural Biology Center, USA)
Daisuki Kihara (Purdue University, USA)*
Dari Kimanius (MRC Laboratory of Molecular Biology, UK)
Mikhail Kudryashev (Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Germany)
Yilai Li (University of Michigan, USA)*
Duane Loh (National University of Singapore, Singapore)
Jola Mirecka (Collaborative Computational Project for electron cryo-microscopy (CCP-EM), UK)
Dong Si (University of Washington Bothell, USA)*
Amit Singer (Princeton University, USA)*
Carlos Sorzano (Spanish National Research Council (CSIC), Spain)*
Sameer Velankar (EMBL-EBI Hinxton, UK)*
Shruthi Viswanath (Tata Institute of Fundamental Research, India)
Thorsten Wagner (MPI Dortmund, Germany)*
Min Xu (Carnegie Melon University, USA)*